As most marketers know, AI is redefining hundreds of industries across the board – from personalizing online shopping experiences to combating credit card fraud.
Podcasting is no exception. AI-driven podcasting reaches 45 million Americans each month and AI-powered podcasts have experienced a staggering 500% growth in the past year – so how exactly is AI revolutionizing the industry?
In this blog post, we dive into one of the ways AI is changing the podcasting game – content repurposing.
Converting your branded podcast content into a blog post is great, but what if you could do it in half the time? What if you could then turn that blog post into a Twitter Thread or newsletter within seconds?
Oh, the time we would save.
These dreams have become a reality. And although there’s still the vital need for human interaction with whatever content you create using AI, there’s no denying the shifts that’s causing in the content marketing industry.
Let’s dive into our favorite AI tools that you can leverage to make the most of your podcast content, expand your reach, and ultimately save time.
Why should I repurpose my podcast content?
Repurposing podcast content means transforming your podcast episodes into various other formats, such as blog posts, videos, social media snippets, infographics, and more.
94% of marketers repurpose their content and according to the State of Content Marketing report by SEMRush, updating and repurposing existing content is the second most effective content marketing tactic for driving traffic and generating leads.
Rather than creating entirely new content from scratch, repurposing allows you to leverage your existing podcast episodes in different ways, extending their lifespan, potentially attracting new listeners, and of course, saving time.
5 ways you can use AI to repurpose your podcast content
Utilizing natural language processing, AI-powered transcription services can revolutionize your podcast episodes, turning them into easily searchable material in minutes.
Transcriptions can significantly broaden the reach and availability of your content. Not everyone can (or wants to) consume audio content; this can be due to hearing impairments, personal preferences, or other specific circumstances. By offering transcriptions, you ensure that your content is inclusive and accessible to a wider audience.
In addition to enhancing accessibility, transcriptions are invaluable for search engine optimization (SEO). Transforming your audio content into text renders it discoverable by search engines, substantially amplifying your podcast's visibility and audience reach.
We recommend CoHost's transcription feature to convert podcast audio into written text, effectively and efficiently.
Here are just some of its stand-out features:
Precision and speed:
CoHost's AI-driven transcription service takes pride in its precise and high-quality transcriptions, capable of producing content in less than 3 minutes with an accuracy rate of 95-99%. The AI is designed to comprehend various accents, speakers, and topics, making it adaptable to a wide range of podcast themes and industries.
Once the AI generates the initial transcript, users have the option to make edits, ensuring that the final result aligns perfectly with the original audio content.
CoHost's transcription tool automatically adds timestamps, simplifying navigation for both listeners and readers. This feature is particularly valuable when referencing specific parts of the podcast.
Blog articles and long-form content
Once you have your transcriptions handy, you can easily convert them into blog posts, whitepapers, reports, or other long-form content like newsletters.
Unlike a raw transcript, a blog post requires structuring the content and adding additional value to the conversation. Ultimately, the result should be a self-contained piece that stands on its own. Luckily, there are a few AI tools that can speed up the process.
Begin by researching relevant keywords and phrases related to the podcast topic. AI-driven tools like SEMrush or Ahrefs can assist in identifying high-ranking keywords that can improve the blog post's search engine optimization (SEO).
These models can take the structured content, incorporate keywords, and generate human-like text that flows seamlessly.
Example of an effective Chat GPT prompt
If you’re using Chat GPT to turn your transcription into a blog post, an effective prompt might look like:
“You’re a content specialist with a specialty in writing SEO-driven blog posts.
I have a podcast transcript from a recent episode where we discussed *insert conversation topic* (e.g. the future of renewable energy). The episode featured an interview with *insert guest name*, an expert in *insert specialty*, and we covered topics like *insert specific topic #1*, *insert specific topic #2*, and *insert specific topic #3*.
I'd like to turn this transcript into an engaging, informative blog post suitable for our website's audience who are *insert audience overview* (e.g. mostly beginners in the renewable energy space).
- An attention-grabbing introduction that highlights the importance of the topic.
- Subheadings for each major section.
- Expansion or explanation of technical terms where necessary.
- A conclusion that summarizes the key takeaways and encourages readers to listen to the full podcast episode.
Attached is the transcript. Please transform it into a compelling, SEO-optimized blog post.”
Before posting, run your blog through tools like:
- Grammarly is an AI-powered writing assistant, that can help you fix spelling errors, improve the overall appearance, and enhance stylistic qualities and readability.
- Hemingway Editor improves your writing to make it more clear and impactful. The app highlights lengthy, complex sentences and common errors.
Now for the most important part. While AI tools dramatically speed up the content repurposing process, you still need to ensure that the AI-generated content aligns with your brand’s style and tone.
We highly suggest injecting a personal touch by adding your own insights, anecdotes, or examples to make the blog post more engaging and reflective of your unique perspective.
But wait, there’s more. Transforming podcast episodes into blog articles or other long-form content opens up possibilities for further repurposing. You can extract key points from the articles to create social media posts, infographics, newsletter content, or even short video clips.
Let’s dive into a few of those now.
Social media posts
Social media platforms have millions of active users, allowing you to reach people who may not be regulars on Spotify but frequent Twitter (X), LinkedIn, or TikTok.
These users, through sharing, directing messaging, and tagging, can share your podcast with people in their circle. In fact, over half of podcast listeners say they learn about new podcasts on social media. We also know some individuals who only consume segments of a podcast through TikToks and Reels on Instagram, so it’s safe to say that social media is a powerful platform for your podcast.
While the thought of converting your blog post, report, or whitepaper into several different social media posts may sound daunting, AI tools can lessen the blow.
Our favorites include:
Begin by feeding your blog post into an AI-powered content analysis tool. These tools use natural language processing (NLP) algorithms to break down the blog post's text, identifying key points, keywords, and the overall tone and sentiment of the content.
The AI should help you extract the most important information from your blog post by highlighting key takeaways, statistics, and quotes that would appeal to your social media audience.
The best part?
These tools can automatically tailor your content to different social media platforms’ character limits and formatting requirements. Your AI tool should be capable of tailoring the content to fit the specific platform.
For instance, Twitter (X) requires concise text or extended threads, while LinkedIn lends itself better to longer posts and carousels.
While AI can be a powerful ally in content conversion, it's important to ensure that your social media posts maintain the authenticity and tone of your brand. Human oversight is crucial to ensure that the content resonates with your audience and aligns with your brand voice.
Example of an AI prompt for social media posts
"You’re an expert social media strategist. I've just finished writing a blog post about *insert description of the main topic or key points of your blog post*.
Can you help me create a captivating social media post for [social media platform] that will grab the attention of my audience which is *insert audience details* and make them want to read the full blog post?
Keep it concise and engaging"
Visuals and graphics
To make your social media posts more appealing, AI can generate visuals such as images or infographics based on the blog post's content.
This helps convey your message effectively and increase engagement.
AI-powered image recognition and generation tools, like Strencil, analyze your podcast episodes and automatically suggest relevant images, which can be customized to fit your branding.
For instance, if your podcast discusses food, AI can generate appealing images of dishes, ingredients, or chefs to accompany your posts.
Here are some other AI platforms we recommend:
- RelayThat: RelayThat is a design automation platform that uses AI to generate multiple design variations based on your input, making it easy to create consistent social media visuals.
- Designify: Designify is an AI-powered graphic design tool that can generate logos, social media posts, and other visuals based on your preferences and inputs.
- Deep Dream Generator: If you're looking for more artistic and surreal images, Deep Dream Generator can transform your photos using neural networks. It's a fun tool for creating unique visuals.
Bonus AI Tool: We also recommend using Sharewizard to create LinkedIn carousels from blog posts. Simply paste your blog article’s URL and have a custom carousel created in seconds.
In fact, recent statistics reveal that 43% of monthly podcast listeners have enjoyed podcast content on YouTube within the past year and nearly a third (32%) of Americans prefer listening to podcasts with video.
You can go about taking on video in various ways, some common use cases include:
- Opt to create a video podcast
- Post teasers and snippets of your show
- Showcase episode highlights
- Feature behind-the-scenes content
Here are some AI tools that can help you leverage video:
- Lumen5 is an AI-powered video creation tool that can convert your text-based content into engaging video content suitable for social media platforms like Facebook, Youtube, and Instagram.
- Wave.video is a versatile online video maker that offers AI-driven features to convert audio content into videos. You can upload your podcast audio and use the platform's AI tools to generate subtitles, add animations, and include stock footage to create engaging video content.
- Headliner is a user-friendly online tool designed specifically for turning audio content, including podcasts, into video clips. It provides features for adding captions, animations, and audiograms to your podcast audio, making it more visually appealing for sharing on social media.
- InVideo is a versatile video editing tool that offers AI-driven features for creating engaging video content. You can use it to combine your podcast audio with video clips, images, and text overlays to create visually appealing videos.
Are you ready to repurpose your podcast with AI?
Harnessing the power of AI to repurpose your podcast content opens up a world of possibilities for content creators and marketers alike.
By embracing innovative tools and techniques, you not only make your content more accessible to a wider audience but also save time and resources in the process.
As AI continues to advance, the opportunities to repurpose your podcast content are only bound to expand, ensuring that your valuable insights and stories can reach even greater heights in the digital landscape.
However, remember that AI cannot trump human creativity and authenticity. While the potential for AI in podcasting is vast, we still suggest that marketers be mindful of ethical considerations and the current limitations of AI.
If you want to learn more about branded podcasts, chat with our team!